AI Assistant for Dermo-Cosmetics

Case Study: Smart Dermatology Assistant - Transforming Product Recommendations with AI

This case study outlines how Octonode successfully developed and implemented an Artificial Intelligence (AI)-powered assistant designed to provide personalized skincare product recommendations for a client in the dermo-cosmetics industry.

About the Client

The client is a company specializing in the commercialization of dermo-cosmetic products. They offer a comprehensive portfolio of specialized skincare solutions aimed at improving skin health and maintain strong relationships with dermatologists and skincare professionals. Seeking to modernize their customer interaction, the client wanted to integrate an intelligent, AI-driven solution for product recommendations. The key objectives were to enhance customer satisfaction while ensuring all advice provided was factually accurate and fully aligned with their official product information.

The Challenge

Guiding consumers to the appropriate dermo-cosmetic product presents several complexities. The client faced the challenge of needing an AI system that could reliably:

• Prevent Misinformation: Completely eliminate the risk of the AI providing incorrect information or suffering from “hallucinations” (generating plausible but false content).
• Ensure Data Integrity: Guarantee that all responses were based strictly on the company’s verified product catalog data, without external or unverified inputs.
• Maintain Interaction Quality and Compliance: Engage users with a friendly, human-like conversational style while fully adhering to necessary dermatological standards and data privacy regulations.

The Solution by Octonode

Octonode addressed these challenges by developing a customized AI assistant architected to operate exclusively on the client’s official catalog data. The core components of the solution were:

• AI Model: Utilized the Google Gemini large language model (LLM) for its advanced language understanding and generation capabilities.
• Workflow Automation: Employed a modular logic engine built using n8n to manage the interaction flow and data retrieval processes.
• Verified Knowledge Base: Integrated with an Airtable database containing the up-to-date product catalog, which the AI consults for every customer query.
• Conversation Continuity: Implemented session memory to retain the context of the conversation, allowing for more natural and relevant interactions.
• Safety Protocols: Enforced strict behavioral rules within the AI’s operational logic to ensure that no unverified or speculative information could ever be suggested to users.

Implementation Process

The AI assistant was carefully integrated into the client’s existing digital infrastructure using public webhook technology. Key technical aspects of the implementation included:

• Establishing a secure connection to Airtable that provided live, real-time access to the product catalog data.
• Setting up a webhook listener to ensure seamless, real-time conversations with users, minimizing latency.
• Implementing automated logging of conversations into Google Sheets, facilitating quality control measures and maintaining a record for compliance tracking.

Quantifiable Results

The project delivered substantial and measurable positive impacts for the client:

• Performance: Achieved a rapid 2-second average response time, crucial for maintaining user engagement during interactions.
• User Retention: Saw a significant +30% increase in repeat interactions from users within the first 60 days of deployment.
• Scalability & Reliability: Successfully handled over 10,000 conversations autonomously with zero compliance incidents reported, demonstrating robustness and safety.
• Customer Perception: Led to higher customer trust as users recognized the assistant provided verified, accurate, and non-speculative product information.

Conclusion

This project demonstrates the power of combining the capabilities of advanced AI (like Google Gemini) with verifiable, structured product knowledge. Octonode successfully created a dermatology-focused virtual assistant that users trust and perceive as valuable. The case study stands as a compelling model for how AI can be responsibly leveraged to enhance the customer experience in sensitive domains without sacrificing crucial aspects like accuracy, safety, or regulatory compliance.

Next Steps

Building on the success of this initial deployment, the client is actively exploring further enhancements for the AI assistant. Future plans include:

• Adding multilingual support to serve a more diverse and international customer base.
• Expanding the integration to include a broader range of products from their catalog, enabling even more personalized and comprehensive recommendations.